Sign inGet started
Dataset · Hugging Face

floatai/TKEval

Dataset Card for TKEval Contents Dataset Description Dataset Structure Dataset Splits Citation Dataset Description The curse of tokenization: Language models typically tokenize raw text into sequences of subword identifiers from a predefined vocabulary, a process inherently sensitive to typographical errors, length variations, and largely oblivious to the internal structure of tokens. TKEval is an evalution benchmark for systematicly assessing the… See the full description on the dataset page: https://huggingface.co/datasets/floatai/TKEval.

Author / organizationfloatai
License (as declared)apache-2.0
Downloads2.7K (as reported by Hugging Face)
Likes2
Created10 December 2024
Last updated at source11 December 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/c8b5fa91-7c36-4599-812c-7f9b9646ceac" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

2,712 now (-227 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: Dataset Card for TKEval Contents Dataset Description Dataset Structure Dataset Splits Citation Dataset Description The curse of tokenization: Language models typically tokenize raw text into sequences of subword identifiers from a predefine → Dataset Card for TKEval Contents Dataset Description Dataset Structure Dataset Splits Citation Dataset Description The curse of tokenization: Language models typically tokenize raw text into sequences of subword identifiers from a predefine

Changes detected by Silytics between refreshes of the source.

More from floatai

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.